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期刊
ISSN
1524-1904
刊名
Applied Stochastic Models in Business and Industry
参考译名
商业与工业应用随机模型
收藏年代
2002~2023
关联期刊
参考译名
收藏年代
Applied Stochastic Models in Business and Industry
商业与工业应用随机模型
2024~2026
全部
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
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2015
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2018
2019
2020
2021
2022
2023
2020, vol.36, no.1
2020, vol.36, no.2
2020, vol.36, no.3
2020, vol.36, no.4
2020, vol.36, no.5
2020, vol.36, no.6
题名
作者
出版年
年卷期
Item response function in antagonistic situations
Turetsky, Vladimir; Steinberg, David M.; Bashkansky, Emil
2020
2020, vol.36, no.5
Nonlinear time series classification using bispectrum-based deep convolutional neural networks
Parker, Paul A.; Holan, Scott H.; Ravishanker, Nalini
2020
2020, vol.36, no.5
Cross-estimation for decision selection
Gu, Xinyue; Li, Bo
2020
2020, vol.36, no.5
Stratified two-sample design: A review on nonparametric methods
Carrozzo, Eleonora; Arboretti, Rosa; Ceccato, Riccardo; Salmaso, Luigi
2020
2020, vol.36, no.5
A distribution-based method to gauge market liquidity through scale invariance between investment horizons
Bianchi, Sergio; Pianese, Augusto; Frezza, Massimiliano
2020
2020, vol.36, no.5
Discussion of "Multivariate generalized hyperbolic laws for modeling financial log-returns-Empirical and theoretical considerations"
Sololov, Vadim
2020
2020, vol.36, no.5
Rejoinder to "Multivariate generalized hyperbolic laws for modeling financial log returns: Empirical and theoretical considerations"
Fotopoulos, Stergios B.; Paparas, Alex; Jandhyala, Venkata K.
2020
2020, vol.36, no.5
Dynamics of energy technology diffusion under uncertainty
Li, Li; Liu, Junqi; Zhu, Lei
2020
2020, vol.36, no.5
Multivariate generalized hyperbolic laws for modeling financial log-returns: Empirical and theoretical considerations
Fotopoulos, Stergios B.; Paparas, Alex; Jandhyala, Venkata K.
2020
2020, vol.36, no.5
Covariate-dependent control limits for the detection of abnormal price changes in scanner data
Kim, Youngrae; Kim, Sangkyun; Lim, Johan; Lee, Sungim; Son, Won; Hwang, Heejin
2020
2020, vol.36, no.5
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